Summary of Attention Is All You Need, by Ashish Vaswani et al.
Attention Is All You Needby Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones,…
Summary of Event Prediction in the Big Data Era: a Systematic Survey, by Liang Zhao
Event Prediction in the Big Data Era: A Systematic Surveyby Liang ZhaoFirst submitted to arxiv…
Summary of Learning Disentangled Representation For Robust Person Re-identification, by Chanho Eom et al.
Learning Disentangled Representation for Robust Person Re-identificationby Chanho Eom, Bumsub HamFirst submitted to arxiv on:…
Summary of On the Semantics Of Abstract Argumentation Frameworks: a Logic Programming Approach, by Gianvincenzo Alfano et al.
On the Semantics of Abstract Argumentation Frameworks: A Logic Programming Approachby Gianvincenzo Alfano, Sergio Greco,…
Summary of Monocular Expressive Body Regression Through Body-driven Attention, by Vasileios Choutas et al.
Monocular Expressive Body Regression through Body-Driven Attentionby Vasileios Choutas, Georgios Pavlakos, Timo Bolkart, Dimitrios Tzionas,…
Summary of Enhance Long Text Understanding Via Distilled Gist Detector From Abstractive Summarization, by Yan Liu et al.
Enhance Long Text Understanding via Distilled Gist Detector from Abstractive Summarizationby Yan Liu, Yazheng YangFirst…
Summary of Human-like Relational Models For Activity Recognition in Video, by Joseph Chrol-cannon et al.
Human-like Relational Models for Activity Recognition in Videoby Joseph Chrol-Cannon, Andrew Gilbert, Ranko Lazic, Adithya…
Summary of Generating Explainable Rule Sets From Tree-ensemble Learning Methods by Answer Set Programming, By Akihiro Takemura et al.
Generating Explainable Rule Sets from Tree-Ensemble Learning Methods by Answer Set Programmingby Akihiro Takemura, Katsumi…
Summary of Exact Methods and Lower Bounds For the Oven Scheduling Problem, by Marie-louise Lackner et al.
Exact methods and lower bounds for the Oven Scheduling Problemby Marie-Louise Lackner, Christoph Mrkvicka, Nysret…
Summary of Label-efficient Self-supervised Federated Learning For Tackling Data Heterogeneity in Medical Imaging, by Rui Yan et al.
Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imagingby Rui Yan, Liangqiong Qu,…